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    <!------------------------- header section -------------------------->
    <div class="header-container">
      <div class="header my-container">
        <h1 class="logo">هضم</h1>
        <span class="text">برای پردازش زبان فارسی</span>
        <img
          class="menu-icon active"
          src="images/menu/mobile/menu.svg"
          alt="menu icon"
        />
        <img
          class="close-icon"
          src="images/menu/mobile/close.svg"
          alt="close icon"
        />
        <div class="menu">
          <a href="https://www.roshan-ai.ir/hazm/docs/">
            <img
              style="width: 19px; height: 19px; opacity: 0.6"
              src="images/menu/web/doc_icon.svg"
              alt="doc_icon"
            />
            <span>مستندات</span>
          </a>
          <a href="demo/">
            <img src="images/menu/web/demo_icon.svg" alt="demoIcon" />
            <span>دموی آنلاین</span>
          </a>
          <a href="https://github.com/roshan-research/hazm">
            <img src="images/menu/web/git_icon.svg" alt="git_icon" />
            <span>سورس پروژه</span>
          </a>
          <a href="https://www.roshan-ai.ir/join-us/">
            <img src="images/menu/web/join_us_icon.svg" alt="joinUsIcon" />
            <span>همکاری با ما</span>
          </a>
        </div>
      </div>
    </div>
    <div class="separator-line" style="display: none"></div>
    <div class="mobile-menu" style="display: none">
      <ul class="my-container">
        <li>
          <a href="docs">
            <img src="images/menu/mobile/doc_icon.svg" alt="doc_icon" />
            <span>مستندات</span>
          </a>
        </li>
        <li>
          <a href="demo/">
            <img src="images/menu/mobile/demo_icon.svg" alt="demoIcon" />
            <span>دموی آنلاین</span>
          </a>
        </li>
        <li>
          <a href="https://github.com/roshan-research/hazm">
            <img src="images/menu/mobile/git_icon.svg" alt="git_icon" />
            <span>سورس پروژه</span>
          </a>
        </li>
        <li>
          <a href="https://www.roshan-ai.ir/join-us/">
            <img src="images/menu/mobile/join_us_icon.svg" alt="joinUsIcon" />
            <span>همکاری با ما</span>
          </a>
        </li>
      </ul>
    </div>

    <!------------------------- content section -------------------------->
    <div class="content my-container">
      <h2 class="title title1">ویژگی‌ها</h2>

      <ul class="feature-ul">
        <li>تمیزکردن متن</li>
        <li>استخراج جملات و کلمات متن</li>
        <li>ریشه‌یابی کلمات</li>
        <li>برچسب‌گذاری صرفی</li>
        <li>تجزیه نحوی جمله</li>
        <li>خواندن آسان پیکره‌های محبوب فارسی</li>
        <li>بازنمایی واژه‌ها و جملات</li>
        <a
          style="display: inline-block; padding-top: 10px"
          href="https://github.com/roshan-research/hazm/releases/latest/"
          >تغییرات آخرین نسخه</a
        >
      </ul>

      <h2 class="title title4">شروع کار با هضم</h2>
      <p class="paragraph-1"></p>
      <p class="paragraph-1">
        برای شروع کار با هضم ابتدا باید این کتابخانه را نصب کنید. <br />
        هضم روی پایتون ۳.۸ و بالاتر قابل نصب است. برای نصب، دستور زیر را در
        ترمینال وارد کنید:
      </p>
      <pre class="python-code"><code>pip install hazm</code></pre>
      <div class="paragraph-2">
        <p>
          برچسب‌زن صرفی و تجزیه‌گر نحوی نیاز به مدل‌های آموزش‌دیده دارند. ما
          برای شروع سریع کار با هضم این مدل‌ها را از پیش تهیه کرده‌ایم که آن‌ها
          را می‌توانید از
          <a href="https://github.com/roshan-research/hazm">صفحهٔ معرفی هضم</a>
          دانلود کنید. شما نیز می‌توانید طبق رویه‌هایی که جزئیات آن در
          <a href="https://www.roshan-ai.ir/hazm/docs/">مستندات</a> آمده،
          مدل‌های مخصوص خود را آموزش دهید.
        </p>
      </div>

      <h2 class="title title2">نمونه کد</h2>

      <div class="highlight code-section">
        <div class="code-mobile">
          <div>
            <div class="write-wrapper">
              <div>
                <span>&gt;&gt;&gt;</span>
                <span>normalizer</span>
                <span>=</span>
                <span>Normalizer()</span>
              </div>
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>normalizer.normalize</span>
                <span>(</span>
                <span class="s"
                  >'اصلاح نویسه ها و استفاده از نیم فاصله پردازش را آسان می
                  کند'</span
                >
                <span>)</span>
              </div>
            </div>
            <div class="result-wrapper">
              <div class="toggle">
                <span class="text">result</span>
                <img
                  class="open-path"
                  src="images/code/openPath.svg"
                  alt="open path"
                />
                <img
                  class="close-path"
                  src="images/code/closePath.svg"
                  alt="close path"
                />
              </div>
              <div class="response">
                <span
                  >'اصلاح نویسه‌ها و استفاده از نیم‌فاصله پردازش را آسان
                  می‌کند'</span
                >
              </div>
            </div>
          </div>

          <div>
            <div class="write-wrapper">
              <span>&gt;&gt;&gt;</span>
              <span>sent_tokenize</span>
              <span>(</span>
              <span class="s"
                >'ما هم برای وصل کردن آمدیم! ولی برای پردازش، جدا بهتر نیست؟'
              </span>
              <span>)</span>
            </div>
            <div class="result-wrapper">
              <div class="toggle">
                <span class="text">result</span>
                <img
                  class="open-path"
                  src="images/code/openPath.svg"
                  alt="open path"
                />
                <img
                  class="close-path"
                  src="images/code/closePath.svg"
                  alt="close path"
                />
              </div>
              <div class="response">
                <span>[</span>
                <span class="inline-block">'ما هم برای وصل کردن آمدیم!'</span>
                <span>,</span>
                <span class="inline-block"
                  >'ولی برای پردازش، جدا بهتر نیست؟'</span
                >
                <span>]</span>
              </div>
            </div>
          </div>

          <div>
            <div class="write-wrapper">
              <span>&gt;&gt;&gt;&nbsp;</span><span>word_tokenize</span>
              <span>(</span>
              <span class="s">'ولی برای پردازش، جدا بهتر نیست؟'</span>
              <span>)</span>
            </div>
            <div class="result-wrapper">
              <div class="toggle">
                <span class="text">result</span>
                <img
                  class="open-path"
                  src="images/code/openPath.svg"
                  alt="open path"
                />
                <img
                  class="close-path"
                  src="images/code/closePath.svg"
                  alt="close path"
                />
              </div>
              <div class="response">
                <span>[</span>
                <span>'ولی',</span>
                <span>'برای',</span>
                <span>'پردازش',</span>
                <span>'،',</span>
                <span>'جدا',</span>
                <span>'بهتر',</span>
                <span>'نیست',</span>
                <span>'؟'</span>
                <span>]</span>
              </div>
            </div>
          </div>

          <div>
            <div class="write-wrapper">
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>lemmatizer</span>
                <span>=&nbsp;</span><span>Lemmatizer()</span>
              </div>
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>lemmatizer.lemmatize</span>
                <span>(</span>
                <span class="s">'می‌روم'</span>
                <span>)</span>
              </div>
            </div>
            <div class="result-wrapper">
              <div class="toggle">
                <span class="text">result</span>
                <img
                  class="open-path"
                  src="images/code/openPath.svg"
                  alt="open path"
                />
                <img
                  class="close-path"
                  src="images/code/closePath.svg"
                  alt="close path"
                />
              </div>
              <div class="response">
                <span>'رفت#رو'</span>
              </div>
            </div>
          </div>

          <div>
            <div class="write-wrapper">
              <div>
                <span>&gt;&gt;&gt;</span>
                <span>tagger</span>
                <span>=</span>
                <span>POSTagger</span>
                <span>(</span>
                <span>model</span>
                <span>=</span>
                <span class="s">'pos_tagger.model'</span>
                <span>)</span>
              </div>
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>tagger.tag</span>
                <span>(</span>
                <span>word_tokenize(</span>
                <span class="s">'سلام من را برسان.'</span>
                <span>))</span>
              </div>
            </div>
            <div class="result-wrapper">
              <div class="toggle">
                <span class="text">result</span>
                <img
                  class="open-path"
                  src="images/code/openPath.svg"
                  alt="open path"
                />
                <img
                  class="close-path"
                  src="images/code/closePath.svg"
                  alt="close path"
                />
              </div>
              <div class="response">
                <span>[</span>
                <div class="inline-block">
                  <span>(</span>
                  <span>'سلام',</span>
                  <span>'NOUN,EZ'</span>
                  <span>),</span>
                </div>
                <div class="inline-block">
                  <span>(</span>
                  <span>'من',</span>
                  <span>'PRON'</span>
                  <span>),</span>
                </div>
                <div class="inline-block">
                  <span>(</span>
                  <span>'را',</span>
                  <span>'ADP'</span>
                  <span>),</span>
                </div>
                <div class="inline-block">
                  <span>(</span>
                  <span>'برسان'</span>
                  <span>,</span>
                  <span>'VERB'</span>
                  <span>)</span>
                </div>
                <div class="inline-block">
                  <span>(</span>
                  <span>'.'</span>
                  <span>,</span>
                  <span>'PUNCT'</span>
                  <span>)</span>
                </div>
                <span>]</span>
              </div>
            </div>
          </div>

          <div>
            <div class="write-wrapper">
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>chunker</span>
                <span>=&nbsp;</span><span>Chunker</span><span>(</span>
                <span>model</span><span>=</span>
                <span class="s">'chunker.model'</span>
                <span>)</span>
              </div>
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>tagged&nbsp;</span
                ><span>=</span>
                <span>tagger.tag</span>
                <span>(&nbsp;</span><span>word_tokenize(</span>
                <span class="s">'کتاب خواندن را دوست داریم'</span>
                <span>))</span>
              </div>
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>tree2brackets</span
                ><span>(</span>
                <span>chunker.parse</span>
                <span>(</span><span>tagged</span><span>))</span>
              </div>
            </div>
            <div class="result-wrapper">
              <div class="toggle">
                <span class="text">result</span>
                <img
                  class="open-path"
                  src="images/code/openPath.svg"
                  alt="open path"
                />
                <img
                  class="close-path"
                  src="images/code/closePath.svg"
                  alt="close path"
                />
              </div>
              <div class="response">
                <span class="inline-block">'[کتاب خواندن NP]</span>
                <span class="inline-block">[را POSTP]</span>
                <span class="inline-block">[دوست داریم VP]'</span>
              </div>
            </div>
          </div>

          <div>
            <div class="write-wrapper">
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>word_embedding&nbsp;</span
                ><span>=</span> <span>WordEmbedding&nbsp;</span><span>(</span
                ><span>model_type</span> <span>=&nbsp;</span
                ><span class="s">'fasttext',</span> <span>model_path&nbsp;</span
                ><span>=&nbsp;</span><span class="s">'word2vec.bin'</span>
                <span>)</span>
                <div>
                  <span>&gt;&gt;&gt;&nbsp;</span
                  ><span>word_embedding.doesnt_match</span>
                  <span>([</span>
                  <span class="s">'پنجره'</span>
                  <span>,</span>
                  <span class="s">'خداحافظ'</span>
                  <span>,</span>
                  <span class="s">'درود'</span>
                  <span>,</span>
                  <span class="s">'سلام'</span>
                  <span>])</span>
                </div>
              </div>
            </div>
            <div class="result-wrapper">
              <div class="toggle">
                <span class="text">result</span>
                <img
                  class="open-path"
                  src="images/code/openPath.svg"
                  alt="open path"
                />
                <img
                  class="close-path"
                  src="images/code/closePath.svg"
                  alt="close path"
                />
              </div>
              <div class="response">
                <span class="inline-block">'پنجره'</span>
              </div>
            </div>
          </div>

          <div>
            <div class="write-wrapper">
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>parser&nbsp;</span
                ><span>=&nbsp;</span> <span>DependencyParser&nbsp;</span
                ><span>(</span><span>tagger</span> <span>=&nbsp;</span
                ><span>tagger,</span> <span>lemmatizer&nbsp;</span
                ><span>=&nbsp;</span><span>lemmatizer</span>
                <span>)</span>
              </div>
              <div>
                <span>&gt;&gt;&gt;&nbsp;</span><span>parser.parse</span>
                <span>(&nbsp;</span>
                <span>word_tokenize(</span>
                <span class="s">'زنگ‌ها برای که به صدا درمی‌آید؟'</span>
                <span>))</span>
              </div>
            </div>
            <div class="result-wrapper">
              <div class="toggle">
                <span class="text">result</span>
                <img
                  class="open-path"
                  src="images/code/openPath.svg"
                  alt="open path"
                />
                <img
                  class="close-path"
                  src="images/code/closePath.svg"
                  alt="close path"
                />
              </div>
              <div class="response">
                <span>&lt;</span><span>DependencyGraph</span>
                <span class="k">with&nbsp;</span><span class="mi">8&nbsp;</span
                ><span>nodes&gt;</span>
              </div>
            </div>
          </div>
        </div>

        <div class="code-web">
          <div class="has-break">
            <span>&gt;&gt;&gt;</span>
            <span class="kn">from</span>
            <span class="nn">hazm</span>
            <span class="kn">import</span>
            <span>*</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;</span>
            <span>normalizer</span>
            <span>=</span>
            <span>Normalizer()</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>normalizer.normalize</span>
            <span>(</span>
            <span class="s"
              >'اصلاح نویسه ها و استفاده از نیم فاصله پردازش را آسان می
              کند'</span
            >
            <span>)</span>
          </div>
          <div class="has-break">
            <span class="s"
              >'اصلاح نویسه‌ها و استفاده از نیم‌فاصله پردازش را آسان
              می‌کند'</span
            >
          </div>
          <div>
            <span>&gt;&gt;&gt;</span>
            <span>sent_tokenize</span>
            <span>(</span>
            <span class="s"
              >'ما هم برای وصل کردن آمدیم! ولی برای پردازش، جدا بهتر
              نیست؟'</span
            >
            <span>)</span>
          </div>
          <div>
            <span>[</span>
            <span class="s inline-block">'ما هم برای وصل کردن آمدیم!'</span>
            <span>,</span>
            <span class="s inline-block"
              >'ولی برای پردازش، جدا بهتر نیست؟'</span
            >
            <span>]</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>word_tokenize</span>
            <span>(</span>
            <span class="s">'ولی برای پردازش، جدا بهتر نیست؟'</span>
            <span>)</span>
          </div>
          <div class="has-break">
            <span>[</span>
            <span class="s">'ولی',</span>
            <span class="s">'برای',</span>
            <span class="s">'پردازش'،</span>
            <span class="s">'،'،</span>
            <span class="s">'جدا',</span>
            <span class="s">'بهتر',</span>
            <span class="s">'نیست',</span>
            <span class="s">'؟'</span>
            <span>]</span>
          </div>

          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>lemmatizer</span>
            <span>=&nbsp;</span><span>Lemmatizer()</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>lemmatizer.lemmatize</span>
            <span>(</span>
            <span class="s">'می‌روم'</span>
            <span>)</span>
          </div>
          <div class="has-break">
            <span class="s">'رفت#رو'</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;</span>
            <span>tagger</span>
            <span>=</span>
            <span>POSTagger</span>
            <span>(</span>
            <span>model</span>
            <span>=</span>
            <span class="s">'pos_tagger.model'</span>
            <span>)</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>tagger.tag</span>
            <span>(</span>
            <span>word_tokenize(</span>
            <span class="s">'سلام من را برسان.'</span>
            <span>))</span>
          </div>
          <div class="has-break">
            <span>[</span>
            <div class="inline-block">
              <span>(</span>
              <span class="s">'سلام'</span>
              <span>,</span>
              <span class="s">'NOUN,EZ'</span>
              <span>),</span>
            </div>
            <div class="inline-block">
              <span>(</span>
              <span class="s">'من'</span>
              <span>,</span>
              <span class="s">'PRON'</span>
              <span>),</span>
            </div>
            <div class="inline-block">
              <span>(</span>
              <span class="s">'را'</span>
              <span>,</span>
              <span class="s">'ADP'</span>
              <span>),</span>
            </div>
            <div class="inline-block">
              <span>(</span>
              <span class="s">'برسان'</span>
              <span>,</span>
              <span class="s">'VERB'</span>
              <span>)</span>
            </div>
            <div class="inline-block">
              <span>(</span>
              <span class="s">'.'</span>
              <span>,</span>
              <span class="s">'PUNCT'</span>
              <span>)</span>
            </div>
            <span>]</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>chunker</span>
            <span>=&nbsp;</span><span>Chunker</span><span>(</span>
            <span>model</span><span>=</span>
            <span class="s">'chunker.model'</span>
            <span>)</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>tagged&nbsp;</span
            ><span>=</span>
            <span>tagger.tag</span>
            <span>(&nbsp;</span><span>word_tokenize(</span>
            <span class="s">'کتاب خواندن را دوست داریم'</span>
            <span>))</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>tree2brackets</span
            ><span>(</span>
            <span>chunker.parse</span>
            <span>(</span><span>tagged</span><span>))</span>
          </div>
          <div class="has-break">
            <span class="s">'[کتاب خواندن NP]</span>
            <span class="s">[را POSTP]</span>
            <span class="s">[دوست داریم VP]'</span>
          </div>

          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>word_embedding&nbsp;</span
            ><span>=</span> <span>WordEmbedding&nbsp;</span><span>(</span
            ><span>model_type</span> <span>=&nbsp;</span
            ><span class="s">'fasttext',</span> <span>model_path&nbsp;</span
            ><span>=&nbsp;</span><span class="s">'word2vec.bin'</span>
            <span>)</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;&nbsp;</span
            ><span>word_embedding.doesnt_match</span>
            <span>([</span>
            <span class="s">'پنجره'</span>
            <span>,</span>
            <span class="s">'خداحافظ'</span>
            <span>,</span>
            <span class="s">'درود'</span>
            <span>,</span>
            <span class="s">'سلام'</span>
            <span>])</span>
          </div>
          <div class="has-break">
            <span class="s">'پنجره'</span>
          </div>

          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>parser&nbsp;</span
            ><span>=</span> <span>DependencyParser&nbsp;</span><span>(</span
            ><span>tagger</span> <span>=&nbsp;</span><span>tagger,</span>
            <span>lemmatizer&nbsp;</span><span>=&nbsp;</span
            ><span>lemmatizer</span>
            <span>)</span>
          </div>
          <div>
            <span>&gt;&gt;&gt;&nbsp;</span><span>parser.parse</span>
            <span>(&nbsp;</span>
            <span>word_tokenize(</span>
            <span class="s">'زنگ‌ها برای که به صدا درمی‌آید؟'</span>
            <span>))</span>
          </div>
          <div>
            <span>&lt;</span><span>DependencyGraph</span>
            <span class="k">with&nbsp;</span><span class="mi">8&nbsp;</span
            ><span>nodes&gt;</span>
          </div>
        </div>
      </div>

      <div class="tree-section">
        <h2 class="title title3">درخت تحلیل نحوی</h2>
        <div class="tree">
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            width="600"
            height="249"
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